Struct TabDptModel

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pub struct TabDptModel { /* private fields */ }

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impl TabDptModel

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pub fn load(gguf_path: &Path, config: TabDptConfig) -> Result<Self>

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pub fn predict_classification( &self, x_support: &[Vec<f32>], y_support: &[usize], x_query: &[Vec<f32>], n_classes: usize, ) -> Result<Vec<Vec<f32>>>

Zero-shot classification. y_support are class indices 0..n_classes. Returns probabilities [n_query][n_classes] — note the reference implementation applies softmax(log_softmax(logits)) (not a plain single softmax); replicated exactly.

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pub fn predict_regression( &self, x_support: &[Vec<f32>], y_support: &[f32], x_query: &[Vec<f32>], ) -> Result<Vec<f32>>

Zero-shot regression. Returns predicted values in y_support’s original scale.

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impl UnsafeUnpin for TabDptModel

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